Triple
T22075632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madhubala |
E545513
|
entity |
| Predicate | starredIn |
P1668
|
FINISHED |
| Object |
Tarana
"Tarana" is a 1951 Hindi romantic drama film best known for featuring legendary Indian actress Madhubala in one of her early prominent roles.
|
E1518600
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tarana | Statement: [Madhubala, starredIn, Tarana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarana Context triple: [Madhubala, starredIn, Tarana]
-
A.
Tarana
Tarana is a town in the Ujjain district of the central Indian state of Madhya Pradesh.
-
B.
Tarana
Tarana is the first name of Tarana Burke, the American civil rights activist who founded the Me Too movement.
-
C.
Taranna
Taranna is a small coastal locality on the Tasman Peninsula in southeastern Tasmania, Australia, known as a quiet rural and holiday community.
-
D.
Tamaran
Tamaran is a fictional alien planet in the DC Comics universe, best known as the war-torn, sun-powered home of the superheroine Starfire and her people, the Tamaraneans.
-
E.
Arnara
Arnara is a small municipality in the Lazio region of central Italy, located in the province of Frosinone.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tarana Triple: [Madhubala, starredIn, Tarana]
Generated description
"Tarana" is a 1951 Hindi romantic drama film best known for featuring legendary Indian actress Madhubala in one of her early prominent roles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tarana Target entity description: "Tarana" is a 1951 Hindi romantic drama film best known for featuring legendary Indian actress Madhubala in one of her early prominent roles.
-
A.
Tarana
Tarana is the first name of Tarana Burke, the American civil rights activist who founded the Me Too movement.
-
B.
Tarana
Tarana is a town in the Ujjain district of the central Indian state of Madhya Pradesh.
-
C.
Taranna
Taranna is a small coastal locality on the Tasman Peninsula in southeastern Tasmania, Australia, known as a quiet rural and holiday community.
-
D.
Tamaran
Tamaran is a fictional alien planet in the DC Comics universe, best known as the war-torn, sun-powered home of the superheroine Starfire and her people, the Tamaraneans.
-
E.
Arnara
Arnara is a small municipality in the Lazio region of central Italy, located in the province of Frosinone.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128b1904881909a1769ce8be39e05 |
completed | April 28, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a8793a1ec8190977047d2c094845d |
completed | May 18, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_6a0a8a706f8481908e3c09c936948576 |
completed | May 18, 2026, 3:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a8aeed53c8190a261573a43a03929 |
completed | May 18, 2026, 3:43 a.m. |
Created at: April 16, 2026, 8:28 p.m.